Results 231 to 240 of about 71,942 (280)
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2013
In this chapter, we present two algorithms that are inspired by the behaviours of bats, i.e., bat algorithm (BaA) and bat intelligence (BI) algorithm. We first describe the general knowledge of the foraging behaviour of bats in Sect. 3.1. Then, the fundamentals and performances of the BaA and BI algorithm are introduced in Sects.
Bo Xing, Wen-Jing Gao
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In this chapter, we present two algorithms that are inspired by the behaviours of bats, i.e., bat algorithm (BaA) and bat intelligence (BI) algorithm. We first describe the general knowledge of the foraging behaviour of bats in Sect. 3.1. Then, the fundamentals and performances of the BaA and BI algorithm are introduced in Sects.
Bo Xing, Wen-Jing Gao
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Local Enhanced Catfish Bat Algorithm
2016 International Conference on Robots & Intelligent System (ICRIS), 2016To resolve the conflict between convergence speed and diversity in Bat Algorithm (BA), we propose a novel improved BA algorithm called local enhanced catfish bat algorithm (LECBA). In LECBA, some inferior bats of initial population are reserved and each bat's historical worst position is updated.
Liu Yi +3 more
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2013
After analyzing the deficiencies of bat algorithm (BA), we proposed an improved bat algorithm called an adaptive bat algorithm(ABA). In the ABA, each bat can dynamic and adaptively adjust its flight speed and its flight direction while it is searching for food, and makes use of the hunting approach of combining random search with shrinking search.
Xiaowei Wang, Wen Wang, Yong Wang
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After analyzing the deficiencies of bat algorithm (BA), we proposed an improved bat algorithm called an adaptive bat algorithm(ABA). In the ABA, each bat can dynamic and adaptively adjust its flight speed and its flight direction while it is searching for food, and makes use of the hunting approach of combining random search with shrinking search.
Xiaowei Wang, Wen Wang, Yong Wang
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Bat Algorithm with Recollection
2013Bat algorithm(BA) is a new swarm intelligence optimization algorithm. However, bat algorithm has the obvious phenomenon of the premature convergence problem and is easily trapped into local optimum. In order to overcome the shortcoming of the BA algorithm, we proposed an improved bat algorithm called bat algorithm with recollection(RBA).
Wen Wang, Yong Wang, Xiaowei Wang
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Island bat algorithm for optimization
Expert Systems with Applications, 2018Abstract Structured population in evolutionary algorithms is a vital strategy to control diversity during the search. One of the most popular structured population strategies is the island model in which the population is divided into several sub-populations (islands). The EA normally search for each island independently. After a number of predefined
Mohammed Azmi Al-Betar +1 more
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Bat algorithm with Gaussian walk
International Journal of Bio-Inspired Computation, 2014Bat algorithm is a novel branch of evolutionary computation. Although there are several research papers that focus on this new algorithm, however, few of them concerns the high-dimensional numerical problems. In this paper, a new variant called bat algorithm with Gaussian walk BAGW is proposed aiming to solve this problem.
Xingjuan Cai, Lei Wang, Qi Kang, Qidi Wu
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Bat algorithm with oscillation element
International Journal of Innovative Computing and Applications, 2015Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behaviour of bats. However, the exploration capability is not well for some multi-model problems. In this paper, the control theory is applied to analyse the exploration behaviour for each bat, theoretical result shows the update manner in the standard version of bat ...
Xingjuan Cai +4 more
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Unconstrained optimisation through bat algorithm
International Journal of Intelligent Engineering Informatics, 2014Swarm-based metaheuristic algorithms have bridged the gap from ideal situation to reality. They have been successful in removing the limitations of conventional methods by providing optimal and sub-optimal solutions to those optimisation problems which were earlier considered next to impossible.
Shruti Goel, Nishant Goel, Divya Gupta
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Enhanced shuffled bat algorithm (EShBAT)
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016Bat Algorithm (BA) is a simple and effective global optimization algorithm which has been applied to a wide range of real-world optimisation problems. Various extensions to Bat algorithm have been proposed in the past; prominent amongst them being ShBAT. ShBAT is a hybrid between BA and Shuffled Frog Leaping Algorithm-SFLA; a memetic algorithm based on
Hema Banati, Reshu Chaudhary
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